Qatar vs Slovenia: Vulnerability score, Food
Vulnerability score, Food over time
- Qatar
- Slovenia
How they compare
Qatar currently reports 0.3575 against 0.3503 in Slovenia, a difference of 0.0072.
Across all 10 years both countries report, Qatar has been ahead every year.
Qatar ranks 145th and Slovenia ranks 146th of 189 countries.
Qatar has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Qatar | Slovenia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.3551 | 0.3506 | 0.0046 | Qatar |
| 2020s | 0.3567 | 0.3501 | 0.0066 | Qatar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher vulnerability score, food, Qatar or Slovenia?
- Qatar, at 0.3575 against 0.3503 in Slovenia as of 2024.
- What is the difference in vulnerability score, food between Qatar and Slovenia?
- 0.0072, with Qatar ahead.
- How many years of comparable data are there for Qatar and Slovenia?
- 10 years are reported by both, from 2015 to 2024.
- How do Qatar and Slovenia rank globally for vulnerability score, food?
- Qatar ranks 145th and Slovenia ranks 146th of 189 countries.
- Where does this data come from?
- International Monetary Fund, published as Vulnerability score, Food. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The ND-GAIN index is a global free open-source index, that measures a country’s current vulnerability to climate disruptions and assesses a country’s readiness to leverage private and public sector investment for adaptive actions. The IMF-adapted ND-GAIN index is an adaptation of the original index, adjusted by IMF staff to replace the Doing Business (DB) Index, used as source data in the original ND-GAIN, because the DB database has been discontinued by the World Bank in 2020 and it is no longer allowed in IMF work. The IMF-adapted ND-GAIN is an interim solution offered by IMF staff until the ND-GAIN compilers will review the methodology and replace the DB index.